Senior MLOps Engineer

Promise helps utilities and government agencies create flexible payment solutions for individuals struggling with debt, improving enrollment and recovery rates.
Oakland, CA, USA
$150,000 - $215,000
Machine Learning
Senior Software Engineer
Hybrid
7+ years of experience
AI · Finance

Description For Senior MLOps Engineer

Promise is revolutionizing how individuals facing financial difficulties interact with essential public services through innovative payment solutions. As a Senior MLOps Engineer, you'll be instrumental in integrating cutting-edge AI and machine learning technologies into Promise's mission-driven platform. The role focuses on building and managing end-to-end generative AI and LLM applications that will enhance both internal and external products.

The company, backed by over $50 million in funding from prestigious investors like 8VC, Kapor Capital, and XYZ Ventures, has been recognized as one of Fast Company's "World's Most Innovative Companies of 2022." Promise's team includes veterans from leading tech companies like Palantir, Google, and Stripe, along with experienced government leaders.

This position offers a unique opportunity to leverage your technical expertise in MLOps, LLMs, and system architecture to create meaningful social impact. You'll be working with modern technologies including Python, Kubernetes, and cloud infrastructure tools like Terraform and Pulumi. The role requires a strong background in AI technologies and a passion for using technology to solve real-world problems.

As a Senior MLOps Engineer, you'll be responsible for designing robust, scalable AI systems that help Promise achieve its mission of making essential services more accessible and manageable for those facing financial challenges. The position offers competitive compensation ($150K-$215K plus equity) and the opportunity to work in a hybrid setting based in Oakland.

The ideal candidate will bring not only technical excellence but also align with Promise's values of high ethical standards, customer focus, and commitment to positive social impact. This is a chance to join a mission-driven company that's using advanced technology to make a real difference in people's lives while working alongside experienced professionals in a growth-oriented environment.

Last updated a month ago

Responsibilities For Senior MLOps Engineer

  • Design, develop, test, and manage end-to-end generative AI and large language model (LLM) applications
  • Create and manage complex AI systems
  • Integrate LLMs, real-time systems, APIs, and agentic workflows
  • Drive innovation, efficiency, and automation across the platform

Requirements For Senior MLOps Engineer

Python
Kubernetes
  • Minimum 7 years of professional software development experience
  • Experience with Python, especially for asynchronous applications
  • Expertise with LLMOps, general MLOps, or other closely related AI specializations
  • Experience with testing and maintaining production LLM applications
  • Experience with self-hosting ML models
  • Experience with cloud infrastructure (Terraform, Pulumi)
  • Experience with scalable, containerized solutions (Kubernetes, GKE, ECS, Docker)
  • Strong proficiency in systems architecture
  • Must be a US person (US citizen or permanent resident)
  • Must reside in the US

Benefits For Senior MLOps Engineer

Equity
  • Equity offered
  • Opportunity to work on social impact projects
  • Growth-oriented environment

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